kohya-sd-scripts-webui
invoke-ai-gui-colab
kohya-sd-scripts-webui | invoke-ai-gui-colab | |
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2 | 1 | |
167 | 46 | |
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4.3 | 5.4 | |
11 months ago | 6 months ago | |
Python | Python | |
- | MIT License |
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kohya-sd-scripts-webui
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Captioning Training Images
I've never use this but there is Batch Captioning on preparation tab. It can run as standalone program or even Automatic1111's extension.
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Problem when trying to install Kohya to train a Lora model
Also tried https://github.com/ddPn08/kohya-sd-scripts-webui which works over colab but the video tutorials to train a Lora shows a tab which this colab doesn´t have.
invoke-ai-gui-colab
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hey, any way to install invokeAi on google drive?
wow i didn't expect an online deployment, here is the closest i can find (but in russian) : https://github.com/peaashmeter/invoke-ai-gui-colab
What are some alternatives?
kohya_ss
sd-webui-reactor-force - Fast and Simple Face Swap Extension for StableDiffusion WebUI (A1111, SD.Next, Cagliostro) with NVIDIA GPU Support
stable-diffusion-webui-wd14-tagger - Labeling extension for Automatic1111's Web UI
sd-webui-reactor - Fast and Simple Face Swap Extension for StableDiffusion WebUI (A1111 SD WebUI, SD WebUI Forge, SD.Next, Cagliostro)
LyCORIS - Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
Anti-DreamBooth - Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV'23)
Dreambooth - Fine-tuning of diffusion models
sd-easy-mode - Easy Mode Stable Diffusion process allows you to generate images based on your own photos in just three steps
safetensors_util - Utility for Safetensors Files
dreambooth-training-action - Train your custom Stable Diffusion model using Tiyaro Dreambooth training API and Github Action